Bioconductor Gene names

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rnaseq gene names deseq2

updated 6.4 years ago by Michael Love 43k • written 6.4 years ago by ytlin610 ▴ 10

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gene names methylation illumina convertids

updated 6.6 years ago by James W. MacDonald 67k • written 6.6 years ago by arbet003 ▴ 10

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Gviz gene names thinBoxFeature UCSCtrack

8.4 years ago angela.heck • 0

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2.3k

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cluster mfuzz gene names

updated 8.7 years ago by Assa Yeroslaviz ★ 1.5k • written 8.7 years ago by thomas.dobrenel • 0

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1.7k

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GAGE Cuffdiff gene names

updated 9.0 years ago by Luo Weijun ★ 1.6k • written 9.0 years ago by user31888 ▴ 30

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2.7k

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deseq2 gene names differential gene expression

updated 9.7 years ago by Michael Love 43k • written 9.7 years ago by anpham ▴ 60

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Answer: Limma - using both array and spot weights in lmFit by Gordon Smyth 52k

Was answered here: https://support.bioconductor.org/p/17028/

Comment: Easiest way to convert read10xMolInfo data into a dataframe in R with gene label by daldabrown9 • 0

For more info visit us on [R350 status check][1] [1]: https://sassagrantstatuscheck.co.za/

Answer: Margins for gene_set_enrichment_plot by Leonardo Collado Torres ★ 1.1k

Hi, In version 1.19.4 of `spatialLIBD` @lahuuki re-implemented the `gene_set_enrichment_plot()` function using `ComplexHeatmap::Heatmap(…

Comment: miRTarRnaseq library by mercedeh.movassagh ▴ 20

Maria please read the mirTarRnaSeq paper. In particular, Supplemental Table 2, clarifies all the statistical models, inputs and outputs. If…

Comment: Help using rtracklayer for gene ID extraction by James W. MacDonald 67k

Telling me you can't do something without showing what you tried is not helpful. When posting here, try to put yourself in the shoes of peo…

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Answer: Fold change calculation in Diffbind vs. DESEQ2?

Fold change calculation in Diffbind vs. DESEQ2?

FeatureCounts Output Counts at Exon Level Using Default Settings, want gene level

Answer: FeatureCounts Output Counts at Exon Level Using Default Settings, want gene leve

Whether to build DESeq2 model with all data and then contrast groups or subset groups first, build model and then contrast?

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